a ViaGroen , Utrecht , The Netherlands.
Int J Environ Health Res. 2014 Apr;24(2):137-57. doi: 10.1080/09603123.2013.800963. Epub 2013 Jun 26.
We analyzed the Q fever epidemic in the Netherlands on a national scale from a spatial point of view. Data on dairy goat farms and Dutch population, whether or not infected, were geo-referenced. Human cases were counted in GIS at different distance classes for all dairy goat farms, farms with Q fever based on BTM analysis, and farms with clinical symptoms. In all selections, human incidence decreased with increasing distances from dairy goat farms. Incidence was highest around farms with clinical symptoms. Depending on the acceptable incidence value, a dairy goat-free zone around residential areas could be defined. Cluster analyses were performed to identify local clusters of both infected farms and human cases and to identify focused clusters of human cases. Focused clusters were detected for only 14 out of 29 farms with clinical symptoms, giving rise to a new hypothesis on the transmission of Q fever.
我们从空间角度分析了荷兰的 Q 热疫情。将有关奶牛场和荷兰人口(无论是否感染)的数据进行了地理定位。在 GIS 中,根据不同的距离类别,对所有奶牛场、基于 BTM 分析的 Q 热奶牛场和有临床症状的奶牛场进行了人类病例计数。在所有选择中,人类发病率随着与奶牛场距离的增加而降低。发病率在有临床症状的农场周围最高。根据可接受的发病率值,可以在居民区周围划定无奶牛场的区域。进行了聚类分析,以识别感染农场和人类病例的局部聚集,并识别人类病例的集中聚集。只有 29 个有临床症状的农场中的 14 个检测到了集中聚集,这提出了关于 Q 热传播的新假设。